packing == 1 bug fixed. Minor formating problem in the run block of PMsrHandler::WriteMsrLogFile() fixed.
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@ -564,37 +564,47 @@ bool PRunAsymmetry::PrepareFitData(PRawRunData* runData, unsigned int histoNo[2]
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double error = 0.0;
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// forward
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for (unsigned i=start[0]; i<end[0]; i++) {
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if (((i-start[0]) % fRunInfo->fPacking == 0) && (i != start[0])) { // fill data
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// in order that after rebinning the fit does not need to be redone (important for plots)
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// the value is normalize to per bin
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value /= fRunInfo->fPacking;
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forwardPacked.fValue.push_back(value);
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if (value == 0.0)
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forwardPacked.fError.push_back(1.0);
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else
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forwardPacked.fError.push_back(TMath::Sqrt(error)/fRunInfo->fPacking);
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value = 0.0;
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error = 0.0;
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if (fRunInfo->fPacking == 1) {
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forwardPacked.fValue.push_back(fForward[i]);
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forwardPacked.fError.push_back(fForwardErr[i]);
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} else { // packed data, i.e. fRunInfo->fPacking > 1
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if (((i-start[0]) % fRunInfo->fPacking == 0) && (i != start[0])) { // fill data
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// in order that after rebinning the fit does not need to be redone (important for plots)
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// the value is normalize to per bin
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value /= fRunInfo->fPacking;
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forwardPacked.fValue.push_back(value);
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if (value == 0.0)
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forwardPacked.fError.push_back(1.0);
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else
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forwardPacked.fError.push_back(TMath::Sqrt(error)/fRunInfo->fPacking);
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value = 0.0;
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error = 0.0;
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}
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value += fForward[i];
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error += fForwardErr[i]*fForwardErr[i];
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}
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value += fForward[i];
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error += fForwardErr[i]*fForwardErr[i];
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}
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// backward
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for (unsigned i=start[1]; i<end[1]; i++) {
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if (((i-start[1]) % fRunInfo->fPacking == 0) && (i != start[1])) { // fill data
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// in order that after rebinning the fit does not need to be redone (important for plots)
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// the value is normalize to per bin
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value /= fRunInfo->fPacking;
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backwardPacked.fValue.push_back(value);
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if (value == 0.0)
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backwardPacked.fError.push_back(1.0);
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else
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backwardPacked.fError.push_back(TMath::Sqrt(error)/fRunInfo->fPacking);
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value = 0.0;
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error = 0.0;
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if (fRunInfo->fPacking == 1) {
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backwardPacked.fValue.push_back(fBackward[i]);
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backwardPacked.fError.push_back(fBackwardErr[i]);
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} else { // packed data, i.e. fRunInfo->fPacking > 1
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if (((i-start[1]) % fRunInfo->fPacking == 0) && (i != start[1])) { // fill data
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// in order that after rebinning the fit does not need to be redone (important for plots)
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// the value is normalize to per bin
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value /= fRunInfo->fPacking;
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backwardPacked.fValue.push_back(value);
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if (value == 0.0)
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backwardPacked.fError.push_back(1.0);
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else
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backwardPacked.fError.push_back(TMath::Sqrt(error)/fRunInfo->fPacking);
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value = 0.0;
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error = 0.0;
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}
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value += fBackward[i];
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error += fBackwardErr[i]*fBackwardErr[i];
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}
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value += fBackward[i];
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error += fBackwardErr[i]*fBackwardErr[i];
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}
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// check if packed forward and backward hist have the same size, otherwise something is wrong
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